The 2026 MIT Sloan CIO Symposium, where AnyQuest had the honor to present as an innovation showcase finalist, was a source of many good insights and ideas.
First, it was one word – governance – that ruled the show and dominated the discussions. This is barely surprising, given the role that CIOs play in most organizations – making sure that applications, data repositories, networks, machines, etc. work as nature intended. From the CIO perspective, AI is a shock to the established order that must be governed.
Second, it is the fact that in most Fortune 500 organizations, business unit (BU) and business function leaders (BF) – marketing, sales, finance, product, compliance, HR, and others – own AI innovation. Many of them have quotas from the CEO and the board for AI “value creation” and are responsible for mastering AI and using it to transform key activities and workflows.
BU and BF leaders are the innovators inventing and deploying AI use cases and agentic workflows, while the CIO and the central IT organization are AI governors facilitating the transformation.
It is a somewhat surprising development that has several interesting implications.
From the organizational perspective, we see the emergence of “one-pizza teams” that own AI workflows end-to-end.
Each one-pizza team consists of just two people: a subject matter expert (SME) encoding a workflow as an agentic process and a vibe-coder using a tool like Claude Code or Codex to (a) connect AI agents to data and APIs (b) wrap workflows – agentic systems – with a UI suitable for end users.
One-pizza teams report the BF/BU leaders: CMO, CRO, CFO, etc. CIOs are responsible for providing the data and APIs that enable the agentic workflows. They also govern the “AI use case sprawl”, yet another new term heard at the symposium. For a Fortune 500 company, AI use cases now number in the thousands.
My bet is that this change in roles and responsibilities – BU/BFs leading the tech innovation enabled and governed by CIOs – will eventually lead to significant changes in platforms and processes.
On the tech platforms front, we must see the growing importance of a new class of platforms – the systems of intelligence – that enable the distributed innovation and delivery model and complement the systems of record, action, and engagement.
On the processes front, the distributed delivery model will have significant impact on established CI/CD pipelines, configuration and change management, application monitoring, and even budgeting (who owns the token budget?).
In summary, AI is redrawing the enterprise playbook. Business leaders are becoming the builders, CIOs are becoming the governors, and lean “one-pizza” teams are accelerating change faster than traditional IT models can absorb it. Winners will pair distributed experimentation with strong governance, modern data and API foundations, and new systems of intelligence built for agentic work.